Ke Wang

Affiliations:

Intel
Illinois Institute of Technology, Chicago, IL, USA

According to our database¹, Ke Wang authored at least 25 papers between 2013 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2022

Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach.

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[DOI]

IEEE Trans. Big Data, 2022

2018

DVM: Scaling Out Virtual Memory in Userspace.

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[DOI]

Proceedings of the 47th International Conference on Parallel Processing, 2018

Davram: Distributed Virtual Memory in User Space.

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[DOI]

Linhua Jiang

Ke Wang

Dongfang Zhao

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory.

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[DOI]

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2016

Exploring the Design Tradeoffs for Extreme-Scale High-Performance Computing System Software.

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[DOI]

IEEE Trans. Parallel Distributed Syst., 2016

Toward high-performance key-value stores through GPU encoding and locality-aware encoding.

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[DOI]

J. Parallel Distributed Comput., 2016

Load-balanced and locality-aware scheduling for data-intensive workloads at extreme scales.

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[DOI]

Concurr. Comput. Pract. Exp., 2016

A convergence of key-value storage systems from clouds to supercomputers.

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[DOI]

Concurr. Comput. Pract. Exp., 2016

Albatross: An efficient cloud-enabled task scheduling and execution framework using distributed message queues.

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[DOI]

Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015

Towards Scalable Distributed Workload Manager with Monitoring-Based Weakly Consistent Resource Stealing.

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[DOI]

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

A Dynamically Scalable Cloud Data Infrastructure for Sensor Networks.

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[DOI]

Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015

Overcoming Hadoop Scaling Limitations through Distributed Task Execution.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

MHT: A light-weight scalable zero-hop MPI enabled distributed key-value store.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

A flexible QoS fortified distributed key-value storage system for the cloud.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

FaBRiQ: Leveraging Distributed Hash Tables towards Distributed Publish-Subscribe Message Queues.

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[DOI]

Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2014

Next generation job management systems for extreme-scale ensemble computing.

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[DOI]

Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

Achieving Efficient Distributed Scheduling with Message Queues in the Cloud for Many-Task Computing and High-Performance Computing.

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[DOI]

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems.

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[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Optimizing load balancing and data-locality with data-aware scheduling.

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[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Exploring reliability of exascale systems through simulations.

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[DOI]

Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013

SimMatrix: SIMulator for MAny-Task computing execution fabRIc at eXascale.

[BibT_eX]

[DOI]

Ke Wang

Kevin Brandstatter

Ioan Raicu

Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013

Using simulation to explore distributed key-value stores for extreme-scale system services.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2013

Modeling Many-Task Computing Workloads on a Petaflop IBM Blue Gene/P Supercomputer.

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[DOI]

Ke Wang

Zhangjie Ma

Ioan Raicu

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Ke Wang

Timeline

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